Ingeniero especialista en inteligencia artificial

Design, develop, and deploy artificial intelligence and machine learning solutions to support

business processes and product innovation. Lead AI model lifecycle management including

data collection, model training, validation, deployment, and continuous improvement. Develop internal frameworks, guidelines, and best practices to ensure responsible and

effective use of AI technologies across the organization.

EDUCATION: Bachelor’s degree in Computer Science / Data Science / Artificial Intelligence /

Software Engineering.

SKILLS:

• Ability to work in a team-based environment and a commitment to continuous learning and

improvement.

• Requires 3+ years of experience in AI/ML development and deployment:

Python Tensor Flow, Py Torch, Scikit-learn, Keras

MLOps & Cloud: MLflow, Kubeflow, Azure ML, AWS Sage Maker

NLP & Computer Vision Hugging Face Transformers, OpenCV, YOLO,

spa Cy

Data Engineering: Apache Spark, SQL, Pandas, dbt

• Requires 3+ years in experiment tracking and version control for AI:

Git & DVC Version control for code and datasets (GitHub, GitLab)

MLflow / Weights & Biases for experiment tracking and model registry

Docker & Kubernetes Containerization and orchestration for AI model

serving

• Deep knowledge about machine learning algorithms, model architectures, and AI system design.

• Knowledge in statistical modeling, data analysis, and hypothesis testing.

• Experience with large language models (LLMs), generative AI, and prompt engineering.

• Knowledge in the field of responsible AI, model explainability (XAI), and fairness frameworks.

• Ability to interpret and communicate AI model results to both technical and non-technical

audiences.

• CeFQ.125 Position Guide
• Job Description

Job Description:

CeFQ.125 Rev 03 01/24/2024

Ref. CePQ063

• Knowledge in data governance, data lineage, and AI traceability systems (e.g., feature stores,

model registries).

• Proficiency in cloud platforms: Azure, AWS, or GCP for AI/ML workloads and deployment.

• Knowledge in API design, microservices architecture, and AI model integration with enterprise

systems.

• Deep knowledge in AI model evaluation metrics, A/B testing, and statistical performance analysis

Bosch amplía constantemente su presencia internacional, ya que para nosotros la diversidad cultural representa una de nuestras mayores fuerzas. Impulsamos continuamente el crecimiento de nuestros más de 13 mil asociados, quienes desarrollan todo su potencial en una de las empresas con más alta calidad en materia de tecnología. Valoramos el balance entre vida personal y laboral como una de las principales herramientas para mejorar la creatividad y productividad de nuestros asociados.